📚 Biography: Qingchun Tan (谭青春 in Chinese) is currently a 1rd-year B.S. in Computer Science and Technology at SWJTU Hope College, Guided by counselor Wenwen,previously studied software technology major for three years at Deyang Vocational and Technical College of Science and Trade.
📖 Educations
- 2024.09 - (now), pursing a B.S, Hope College., SWJTU
- 2021.09 - 2024.06, Graduate from a vocational college., Deyang Vocational and Technical College of Science and Trade
💡 Related Courses:
-
Undergraduate:Java programming, Python Programming.
-
Specialty:HTML+CSS3 web design, C language programming, UI design, Vue2 programming.
🖊️Professional Skills:Familiar with programming languages such as Java, Python, C #, etc., self-taught Vue3 to build and design Spring Boot project framework, learned AIGC big model development, implemented website application development based on Prompt engineering skills, trained YOLOv8 big model (LLM), and tested and verified results.
🔥 Project Experience
- 2025.06: Suspect facial recognition system:Independently utilizing the Claude-4-Sonnet model, building the entire project development process based on Prompt engineering techniques, training the big model data through YOLOv8, uploading suspect photos, and automatically performing object detection to recognize the suspect’s appearance.
- 2025.03: Psychological Counseling Management System:A front-end and back-end separation project based on springboot+vue3, combined with a responsive psychological counseling project built with a database.Independently build project framework, including consultation with psychologists, recommendation of psychological drugs, addition of user data function in the background, pagination query, and other functions.
- 2024.10: Parking management system:Based on Python, implement various functions such as recording vehicle storage numbers, license plate numbers, etc. in the parking lot, querying, entering, exiting, etc. Independently developed using Python programming language, utilizing libraries such as OS, time, Pandas, NumPy, etc., to process the data in the table and generate corresponding data graphs using Matplotlib.
-
💬 Training experience
-2025.06:AIGC Technical Training:In depth learning of the principles and technical architecture of generative artificial intelligence (AIGC), natural language processing (NLP), and the working mechanisms of deep learning models (Transformer, GPT, etc.), utilizing Prompt engineering techniques to generate text, images, audio, and video for large language models, and developing related functions through API interfaces, processing data, training large models (LLM), and developing a suspect automatic screening system based on YOLOv8 deep learning model. (See GitHub for details)
🎖 Honors and Awards
- 2025.05 The 18th Sichuan University Student Computer Design Competition Huadi Cup Software and Application Track Web Application Development, Provincial Third.
<script type=“text/javascript” id=“clustrmaps” src=“//clustrmaps.com/map_v2.js?d=YtZX_uxB7Ffo-RrrgojrUg9svLJMU2eFBhqlhk8HxfA&cl=ffffff&w=a”></脚本>